Hemant Jain, Engineering Manager in Finetuning at Cohere, will speak at the @awscloud Booth during @nvidiagtc on March 21 at 11:45 am PDT & 12:20 pm PDT. Come by Booth #708 to ‘Learn the art of model fine-tuning’ and ‘Why Embeddings are the best kept secret in GenAI’.
MACHINE LEARNING
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Hand Motion Capture Advances Robotic Learning Data Collection
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Data is a key limiting factor for robotic learning. I’m very excited by our work in using a portable hand motion capture system to obtain high fidelity manipulation data. This work is led by @chenwang_j , co-advised by Karen Liu. 😍🦾 https://t.co/qtLZlJFNR6
— Fei-Fei Li (@drfeifei) 14 mars 2024Data is a key limiting factor for robotic learning. I’m very excited by our work in using a portable hand motion capture system to obtain high fidelity manipulation data. This work is led by @chenwang_j , co-advised by Karen Liu.
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845 Generative AI Repos on GitHub: Growth Analysis
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I went through the most popular AI repos on GitHub, categorized them, and studied their growth trajectories. Here are some of the learnings: 1. There are 845 generative AI repos with at least 500 stars on GitHub. They are built with contributions from over 20,000 developers,
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Pi-Shaped Data Scientist: Flashback to 2014 Article
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Flashback! Rewind to this article written in 2014 >> The π (Pi)-shaped #DataScientist: https://
jakevdp.github.io/blog/2014/08/2
2/hacking-academia/
… by @jakevdp ————————
#BigData #DataScience #Statistics #DataLiteracy #AI #MachineLearning #Coding #PiDay #PiDay2024 #PiDay24 -
AI Sleep Training Boosts Creative Problem-Solving Abilities
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I'll never not be surprised by some of the uncanny echoes of personhood exhibited by AI. For example, scientists feed random data to AI during "sleep" periods, sparking new connections and boosting creative problem-solving. Research shows new training method inspired by human
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Fine-tuning 10 Open-Source LLMs Across 33 Datasets
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We fine-tuned 10 open-source #LLMs (#Gemma-7b, #Mistral-7b, #Phi-2 & more) across 33 datasets and evaluated their task-specific performance! Join our webinar to deep dive on how they each performed and how we did it quickly, affordably & at scale. https://
pbase.ai/49VOu0y -
Hype Replicate: Hackernews-style leaderboard for trending AI repositories
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https://
hype.replicate.dev by @replicate is a Hackernews-style leaderboard of new/trending Github/Huggingface repositories. -
Domino Data Lab Enables Enterprise AI Scaling with Confidence
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.@VentanaResearch's David Menninger highlights how @DominoDataLab
's platform excels at enabling businesses to scale AI initiatives with confidence and ease. https://
domino.buzz/3x3Ifc8 #AI #MachineLearning #MLOps #DataScience #EnterpriseAI -
WorkArena: Web Agents for Knowledge Work Tasks
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WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Drouin et al.: https://
arxiv.org/abs/2403.07718 #ArtificialIntelligence #DeepLearning #MachineLearning -
Vector Matching Engine outperforms QBE for fast similarity search
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QBE (Query-By-Example) does feature vector similarity search. This is BETTER… The @abacusai Vector Matching Engine performs searches on large stores of vector embeddings from text, images, documents & more, in milliseconds using #DeepLearning models: https://
abacus.ai/vectorstore